Generative AI Lead - LLM/RAG
First seen by Alion on Nov 5, 2026. Hexaware Technologies scores B on the Alion truth index.
About the Role:
We are looking for an experienced Generative AI Lead to drive the development and implementation of enterprise-grade Generative AI solutions.
Key Responsibilities :
- Lead day-to-day development and implementation of Generative AI applications using Python and Azure AI services.
- Build and enhance LLM-powered applications for enterprise business use cases.
- Develop RAG pipelines involving document ingestion, data preprocessing, chunking, embeddings, vector search and response generation.
- Implement prompt engineering techniques and optimize LLM outputs for accuracy, relevance and consistency.
- Develop and integrate Microsoft Copilot and Copilot Studio functionalities into existing business applications.
- Work with Azure OpenAI models and configure LLM-based application workflows based on defined solution designs.
- Implement semantic search and vector database integrations to improve information retrieval.
- Develop APIs and backend services to integrate GenAI capabilities with enterprise applications.
- Troubleshoot technical issues related to LLM responses, retrieval accuracy, application performance and integrations.
- Conduct code reviews, enforce development standards and ensure quality of technical deliverables.
- Lead and mentor a team of developers and provide technical guidance throughout the development lifecycle.
- Coordinate with solution architects, product teams and business stakeholders to understand requirements and provide implementation estimates.
- Monitor application performance and identify opportunities for improving response quality, latency and cost efficiency.
- Support testing, deployment and production stabilization of GenAI applications.
Required Skills & Qualifications :
- 911 years of overall experience in software engineering, AI/ML or application development.
- Strong hands-on experience in Generative AI and Large Language Models (LLMs).
- Practical experience building and implementing RAG-based applications.
- Strong programming expertise in Python.
- Hands-on experience with Microsoft Azure and Azure OpenAI Service.
- Experience developing Microsoft Copilot or Copilot Studio integrations.
- Knowledge of vector databases, embeddings, semantic search and document retrieval techniques.
- Experience with prompt engineering, LLM integration and model evaluation.
- Familiarity with frameworks such as LangChain, LlamaIndex or Semantic Kernel.
- Experience developing REST APIs and integrating AI applications with enterprise systems.
- Understanding of application deployment, debugging, performance optimization and cloud environments.
- Experience leading developers, conducting code reviews and managing technical delivery.
Skills
LLM, RAG, Generative AI, Solution Design, Solution Implementation, Artificial Intelligence, Machine Learning, OpenAI, Azure, Python